• DocumentCode
    190238
  • Title

    Activity awareness can improve continuous stress detection in galvanic skin response

  • Author

    Tong Boon Tang ; Lip Wee Yeo ; Lau, Dandy Jing Hui

  • Author_Institution
    Electr. & Electron. Eng. Dept., Univ. Teknol. PETRONAS, Tronoh, Malaysia
  • fYear
    2014
  • fDate
    2-5 Nov. 2014
  • Firstpage
    1980
  • Lastpage
    1983
  • Abstract
    Continuous stress monitoring offers a potential to help understand different mental stress patterns and how clinical intervention could best be applied. One economical way to detect stress is to measure galvanic skin response (GSR) as the electrical conductance of skin varies with physiological arousal. In this work, we studied the effects of different activities (sit, stand and walk) on GSR measurements. We implemented a GSR sensor system and an activity recognition system. We showed that using two accelerometers (at thigh and ankle each) achieved an overall accuracy of 94.7% in activity recognition, an improvement of +27.3% from using single sensor node system. We further demonstrated that the activity information could help improve the sensitivity in stress detection at sitting and standing positions.
  • Keywords
    accelerometers; bioelectric potentials; biomedical equipment; biomedical measurement; biomedical telemetry; body sensor networks; electric admittance; patient monitoring; skin; GSR measurements; GSR sensor system; accelerometers; activity awareness; activity recognition system; ankle; clinical intervention; continuous stress detection; continuous stress monitoring; electrical conductance; galvanic skin response; mental stress patterns; physiological arousal; single sensor node system; sitting positions; standing positions; thigh; Accelerometers; Biomedical monitoring; Decision trees; Sensors; Skin; Stress; Thigh; mental stress; sensor system; wearable computing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    SENSORS, 2014 IEEE
  • Conference_Location
    Valencia
  • Type

    conf

  • DOI
    10.1109/ICSENS.2014.6985421
  • Filename
    6985421